Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
Arabic
AR
speech to text
stt
transcription
Eval Results (legacy)
Instructions to use YazanSalameh/Whisper-base-Arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YazanSalameh/Whisper-base-Arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="YazanSalameh/Whisper-base-Arabic")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("YazanSalameh/Whisper-base-Arabic") model = AutoModelForSpeechSeq2Seq.from_pretrained("YazanSalameh/Whisper-base-Arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YazanSalameh/Whisper-base-Arabic: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/YazanSalameh/Whisper-base-Arabic/resolve/main/training_args.bin
- Command line
-
hf download hf://YazanSalameh/Whisper-base-Arabic/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YazanSalameh/Whisper-base-Arabic/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- af3a6e1720a5fadabd5371280b7c7c7f640b628cad62b1f3a454b3ea2c5609ca
- Size of remote file:
- 4.92 kB
- SHA256:
- 7b81b5a274ae261c2db3c071a2e19efed064463ba4c7af49be24ecad9cfef432
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